STAFF PROFILE
Dr Yongli Ren
Position:
Associate Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Phone:
+61399252859
Email:
yongli.ren@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Qin, K.,Ren, Y.,Shao, W.,Lake, B.,Privitera, F.,Salim, F. (2023). Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction In: ACM Transactions on Spatial Algorithms and Systems, 9, 1 - 22
- Wang, J.,Ren, Y.,Li, J.,Deng, K. (2022). The Footprint of Factorization Models and Their Applications in Collaborative Filtering In: ACM Transactions on Information Systems, 40, 1 - 32
- Joorabloo, N.,Jalili, M.,Ren, Y. (2022). Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence In: Information Sciences, 601, 242 - 254
- Khaokaew, Y.,Holcombe-James, I.,Saiedur Rahaman, M.,Trippas, J.,Spina, D.,Ren, Y.,Sanderson, M.,Scholer, F.,Salim, F. (2022). Imagining future digital assistants at work: A study of task management needs In: International Journal of Human Computer Studies, 168, 1 - 17
- Kang, Y.,Saiedur Rahaman, M.,Ren, Y.,Sanderson, M.,White, R.,Salim, F. (2022). App usage on-the-move: Context- and commute-aware next app prediction In: Pervasive and Mobile Computing, 87, 1 - 19
- Joorabloo, N.,Jalili, M.,Ren, Y. (2021). A Probabilistic Graph-based Method to Solve Precision-diversity Dilemma in Recommender Systems In: Expert Systems with Applications, 184, 1 - 10
- Abu Shaqra, F.,Xue, H.,Ren, Y.,Salim, F. (2021). PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series In: Proceedings of the 21st IEEE International Conference on Data Mining (ICDM 2021), Auckland, New Zealand, 7-10 December 2021
- Mena Maldonado, E.,Canamares, R.,Castells, P.,Ren, Y.,Sanderson, M. (2021). Popularity Bias in False-positive Metrics for Recommender Systems Evaluation In: ACM Transactions on Information Systems, 39, 1 - 43
- Wang, X.,Gu, B.,Qu, Y.,Ren, Y.,Xiang, Y.,Gao, L. (2020). Reliable Customized Privacy-Preserving in Fog Computing In: Proceedings of the IEEE International Conference on Communications (ICC 2020), Dublin, Ireland, 7-11 June 2020
- Wang, X.,Gu, B.,Qu, Y.,Ren, Y.,Xiang, Y.,Gao, L. (2020). A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ELECTR NETWORK,
Web search, Collaborative filtering, Recommender system, Data mining, Log analysis
7 PhD Current Supervisions and 1 Masters by Research Current Supervisions9 PhD Completions
- Digitisation for Safe Workplaces (VHESIF Pool 1). Funded by: Victorian Higher Education State Investment Fund (VHESIF) - Pool 1 from (2021 to 2025)
- Stream Data Classification in the Age of 5G Networks. Funded by: ARC Discovery Projects 2021 from (2021 to 2025)
- Multi-resolution Situation Recognition for Urban-Aware Smart Assistant. Funded by: ARC Discovery Projects 2019 from (2019 to 2023)
- A cyber physical and socially aware personal assistant. Funded by: Microsoft Corporation (USA) - research grant 2018 from (2018 to 2020)